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Signal Detection and Recovery of Tristable Stochastic Resonance System under a Stable Noise

机译:稳定噪声下三稳态随机共振系统的信号检测与恢复

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Based on the tristable stochastic resonance (SR) system, the SR phenomenon and weak signal recovery of high and low frequency sinusoidal signals in a stable noise environment are studied. Firstly, the parameter induced adaptive tristable SR phenomenon under a stable noise is studied. Then, taking the signal-to-noise ratio gain(SNRI) as a measure, the action law of the system parameters on the output of the stochastic resonance system under different noise parameters a and β is analyzed. Finally, aiming at the reason of the distortion of the output waveform of the SR, a tristable SR system recovery method under a stable noise is proposed, and the high, low frequency sinusoidal weak signal is recovered by using the cross-correlation coefficient as a measure. The research results show that the tristable system has a good detection effect on the weak signal. In the signal recovery process, the theoretical analysis is consistent with the actual policy, which proves that the proposed signal recovery method is accurate and feasible, and the recovery effect is ideal.
机译:基于三稳态随机共振(SR)系统,研究了在稳定噪声环境下高频和低频正弦信号的SR现象和弱信号恢复。首先,研究了在稳定噪声下参数诱导的自适应三稳态SR现象。然后,以信噪比增益(SNRI)为度量,分析了系统参数对随机共振系统输出在不同噪声参数α和β下的作用规律。最后,针对SR输出波形失真的原因,提出了一种在稳定噪声下的三稳态SR系统恢复方法,并使用互相关系数作为信号来恢复高低频正弦微弱信号。措施。研究结果表明,三稳态系统对弱信号具有良好的检测效果。在信号恢复过程中,理论分析与实际策略吻合,证明了本文提出的信号恢复方法准确可行,恢复效果理想。

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